采用频域滤波的织物疵点检测方法  

Detection Method of Fabric Defects Based on Frequency Domain Filtering

作　　者：刘伟斌[1] 郑力新[2] 周凯汀[1] 

机构地区：[1]华侨大学信息工程与科学学院,福建厦门361021 [2]华侨大学工学院,福建泉州362021

出　　处：《华侨大学学报（自然科学版）》2017年第4期562-566,共5页Journal of Huaqiao University(Natural Science)

基　　金：福建省科技创新平台建设项目(2013H2002)

摘　　要：首先,通过傅里叶变换获得含有疵点的织物频谱图,根据频谱图设计频域滤波器分离正常的纹理信息,保留疵点信息;然后,通过傅里叶逆变换进行灰度图重构,得到去除正常纹理的疵点图像;最后,经过高斯平滑后二值化分割出织物疵点.实验选取5种织物疵点进行验证,结果表明:采用频域滤波的织物疵点检测方法检测效果良好,且检测率达到90%以上.Firstly,a spectrum image for fabric containing defects was obtained from the Fourier transform,According to the spectrum image,frequency domain filter was designed to remove normal texture information and keep defect information;and then a fabric defect image is obtained by Fourier inverse transform for reconstructed gray image which remove normal texture,finally,the fabric defect was obtained after Gaussian smoothing and image segment.The experiment select five types of fabric defects,the experimental results shows that the method is effective,and the detection average accuracy is over 90%.

关 键 词：疵点检测 织物 纹理 频域滤波 傅里叶变换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]